experiment-design-validation
Installation
SKILL.md
Experiment Design Validation
Core Workflow
- Define the decision the experiment will inform.
- Write a falsifiable hypothesis with target audience, change, expected behavior, and reason.
- Choose method: A/B test, holdout, fake-door test, concierge test, prototype test, usability test, smoke test, survey, landing-page test, or qualitative validation.
- Define primary metric, guardrail metrics, segmentation, exposure rules, sample/traffic constraints, duration, and stop criteria.
- Plan instrumentation and QA before launch.
- Decide in advance how results will be interpreted and what action follows.
- Record result, learning, caveats, and next experiment.
Freshness Rule
Verify current analytics, experimentation platform, privacy, consent, and ad-platform docs before giving tactical setup guidance for A/B tools, GA4/Firebase events, conversion tracking, targeting, or experiment allocation.
Deliverable Shape
For experiment work, provide: